PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-09-08 10:22:22.602695+00:00 (UTC)
In US/Central Time, this is 2024-09-08 05:22:22.602695-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/066f4f088829fefd4d5eef3cf5ccd0ee1d2e2fcde4282a77be578586541bd529.png
We are just generating a random time serie here.
../../_images/f4e78c38a95b59be7eb5db8e31a97347702527e6bef8ab89652e2b348a632eb2.png
../../_images/a649c089508e8534a11aeb48683a7753c3effebaedd225a259c39171f9d9a000.png